↓ Skip to main content

Does Electing Women Reduce Corruption? A Regression Discontinuity Approach

Overview of attention for article published in Legislative Studies Quarterly, November 2022
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#26 of 504)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
70 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
10 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Does Electing Women Reduce Corruption? A Regression Discontinuity Approach
Published in
Legislative Studies Quarterly, November 2022
DOI 10.1111/lsq.12409
Authors

Miguel M. Pereira, Pablo Fernandez‐Vazquez

X Demographics

X Demographics

The data shown below were collected from the profiles of 70 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 2 20%
Student > Ph. D. Student 2 20%
Professor > Associate Professor 1 10%
Student > Bachelor 1 10%
Student > Master 1 10%
Other 0 0%
Unknown 3 30%
Readers by discipline Count As %
Social Sciences 3 30%
Economics, Econometrics and Finance 2 20%
Psychology 1 10%
Unknown 4 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 46. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 April 2023.
All research outputs
#919,138
of 25,714,183 outputs
Outputs from Legislative Studies Quarterly
#26
of 504 outputs
Outputs of similar age
#19,926
of 433,116 outputs
Outputs of similar age from Legislative Studies Quarterly
#1
of 9 outputs
Altmetric has tracked 25,714,183 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 504 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 433,116 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them